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首页> 外文期刊>Journal of Marketing and Consumer Research >Exploring Weight Coefficient of Intelligent Home Care Service Quality Evaluation Index Based on G1 and Entropy Methods
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Exploring Weight Coefficient of Intelligent Home Care Service Quality Evaluation Index Based on G1 and Entropy Methods

机译：基于G1和熵值法的智能家居护理服务质量评价指标权重系数探索

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摘要

As aging people is growing quickly in many countries, the fall problem is formed a curial public health and clinical problem among elderly persons. As an important pension model, the wisdom of the elderly at home in solving the pension problem has played a huge role. How to reasonably determine the weight of the evaluation indicators of the quality of home care services is a difficult problem in practice. Based on the SERVQUAL model, this paper develops five dimensions of reliability, ease of use, tangibility, responsiveness and empathy. First, the subjective weight of evaluation index is determined by G1 method. Secondly, the entropy weight method is used to determine the objective weight of the evaluation index. Finally, the subjective weight and the objective weight are reasonably integrated based on the ideal scheme method. This paper will help the follow-up research on the evaluation of the service quality of the intelligent home-aged care, with strong practical significance and theoretical value.
机译：在许多国家，随着老年人口的迅速增长，跌倒问题已成为老年人中至关重要的公共卫生和临床问题。作为重要的养老金模式，老年人在解决养老金问题上的智慧发挥了巨大作用。在实践中，如何合理确定家庭护理服务质量评价指标的权重是一个难题。在SERVQUAL模型的基础上，本文提出了可靠性，易用性，切实性，响应能力和同理心性五个维度。首先，通过G1方法确定评价指标的主观权重。其次，采用熵权法确定评价指标的客观权重。最后，基于理想方案方法合理地整合了主观权重和客观权重。本文将为智能家居养老服务质量评估的后续研究提供参考，具有很强的现实意义和理论价值。

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